topic Re: AI driven Malware - how do you defend against it? in Industry News

AI driven Malware - how do you defend against it?

Caute_cautim — Tue, 08 Oct 2024 20:51:25 GMT

Hi All

Last summer, cybersecurity researchers at HYAS released the proof-of-concept for EyeSpy, a fully autonomous, AI-powered strain of malware that, they said, can reason, strategize and execute cyberattacks all on its own.1 This experiment, they warned, was a glimpse of the new era of devastating, undetectable cyberthreats that artificial intelligence would soon unleash.

https://www.ibm.com/think/insights/defend-against-ai-malware?utm_medium=Email&utm_source=Newsletter&utm_content=CAAWW&utm_term=15MSC&utm_campaign=236679&utm_id=Newsletter7ENCTA2&mkt_tok=Mjk4LVJTRS02NTAAAAGWCzjPWzK35yMNerNHlhwnMwHVFSBkVL0j1O0vkHHtI-dEs64cwuLE7Q46l_Lwl24O0bOKw-64mq3WKyP6xs7bInR-pkiZeo1n5pAt0X72pPnFXWVo8jw

What are your thoughts?

Regards

Caute_Cautim

Re: AI driven Malware - how do you defend against it?

dcontesti — Wed, 09 Oct 2024 11:28:43 GMT

One word "Pray"

Re: AI driven Malware - how do you defend against it?

Caute_cautim — Thu, 10 Oct 2024 05:18:39 GMT

@dcontesti Unfortunately I don't think that will be a suitable risk mitigation - more preparation and understanding is required to counter it, and knowing where the stop button is too.

Regards

Caute_Cautim

Re: AI driven Malware - how do you defend against it?

munixaheld24 — Tue, 22 Oct 2024 18:57:50 GMT

Behavior-based Detection: Use systems that detect unusual patterns or behavior instead of relying solely on known signatures.
Machine Learning-enhanced Antivirus: Deploy antivirus solutions powered by machine learning to identify and adapt to evolving threats.
Regular Software Updates: Keep all systems and applications updated to close vulnerabilities that AI-driven malware may exploit.
Predictive Models: Implement predictive security models to anticipate and prevent potential attacks before they happen.
Strong Encryption: Use robust encryption to protect sensitive data like automation from being accessed or altered by malware.
Network Segmentation: Divide your network into segments to contain any possible breaches, limiting the spread of malware.
Zero Trust Model: Adopt a zero-trust security approach, ensuring strict verification of all devices and users.
AI-driven Defense Tools: Leverage AI-driven security tools to outmatch AI-driven malware through faster detection and response.
Employee Training: Regularly train staff on the latest cybersecurity practices and phishing threats.
Monitor IoT Devices: Secure all IoT devices and ensure they are properly configured and regularly monitored.
Backup Critical Data: Regularly back up essential data to mitigate damage in case of an attack.
Automation Insights: For more on how automation can streamline defenses, check out YouTube automation tricks.

Re: AI driven Malware - how do you defend against it?

dcontesti — Tue, 22 Oct 2024 19:49:49 GMT

@Caute_cautim I know, it was a bad attempt at trying to be funny.

Re: AI driven Malware - how do you defend against it?

Caute_cautim — Wed, 23 Oct 2024 20:34:16 GMT

@dcontesti A good attempt, most would do the same, when encountering those affects for the first time.

Although most would add it to the risk management log, and ensure it is monitored actively, so that suitable countermeasures and investment can be appropriated.

Regards

Caute_Cautim

Re: AI driven Malware - how do you defend against it?

peeterparker — Tue, 06 May 2025 18:49:56 GMT

As AI-driven malware becomes more advanced, staying ahead requires not just strong security practices but also sharp reflexes and strategic thinking. Interestingly, platforms like s9games can help keep your mind agile — gaming may not replace security tools, but it trains quick decision-making which is key in threat detection and response.

Re: AI driven Malware - how do you defend against it?

Caute_cautim — Sat, 10 May 2025 06:07:45 GMT

@peeterparker Late response been on annual leave. Good idea, except human beings have terrible memories especially on patterns and recognition of such patterns in real life. Hence the reason about 85% of all events are parsed via Artificial Intelligence and live threat feeds, so that human analysts can identify and apply appropriate responses along with incident response cases or revised them as necessary.

Regards

Caute_Cautim